Safety Assessment of Radar Software System based on Entropy Weight Method and Cloud Model

2019 ◽  
Author(s):  
Liang XIA ◽  
Jiang-ping YANG ◽  
Qiang LIN ◽  
Yu-xi XIE ◽  
Chang-cong ZHANG
Keyword(s):  
Safety Assessment ◽  
Cloud Model ◽  
Software System ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method

scholarly journals Assessment of the Ecological Niche of Photovoltaic Agriculture in China

2019 ◽  
Vol 11 (8) ◽  
pp. 2268 ◽  
Author(s):  
Wang ◽  
Wang ◽  
Chen
Keyword(s):  
Ecological Niche ◽  
Cloud Model ◽  
Development Trend ◽  
Evaluation Index System ◽  
Entropy Weight ◽  
Interval Numbers ◽  
Good State ◽  
Entropy Weight Method ◽  
Weight Method ◽  
The Development Trend

To evaluate the ecological niche of photovoltaic agriculture in China, an evaluation index system was constructed. Based on the presentation form of interval numbers, we used the interval entropy weight method and interval cloud model to measure the niche state value and niche role value of photovoltaic agriculture. In this way, we determined the development trend of the ecological niche of photovoltaic agriculture. The results show that Chinese photovoltaic agriculture is in a good state and plays a good, but weak, role. The ecological niche of China’s photovoltaic agriculture will undergo a four-stage evolution process: positioning, integration, leap, and symbiosis. China has completed the positioning stage and entered the integration stage. Hence, it is important to constantly improve the level of industrial integration technology and to form a new photovoltaic agriculture recycling economic ecosystem.

scholarly journals The Risk Assessment of Debris Flow Hazards in Banshanmen Gully Based on the Entropy Weight-Normal Cloud Method

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
X. B. Gu ◽  
S. T. Wu ◽  
X. J. Ji ◽  
Y. H. Zhu
Keyword(s):  
Risk Assessment ◽  
Debris Flow ◽  
Cloud Model ◽  
Risk Estimation ◽  
Assessment Method ◽  
Risk Level ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Index Weight

The debris flow is one of the geological hazards; its occurrence is complex, fuzzy, and random. And it is affected by many indices; a new multi-index assessment method is proposed to analyze the risk level of debris flow based on the entropy weight-normal cloud model in Banshanmen gully. The index weight is calculated by using the entropy weight method. Then, the certainty degree of each index belonging to the corresponding cloud is obtained by using the cloud model. The final risk level of debris flow is determined according to the synthetic certainty degree. The conclusions are drawn that the method is feasible and accurate rate of risk estimation for debris flow is very high, so a new method and thoughts for the risk assessment of debris flow can be provided in the future.

scholarly journals Welfare Effect Evaluation of Land-Lost Farmers’ Households under Different Livelihood Asset Allocation

Land ◽  
2019 ◽  
Vol 8 (11) ◽  
pp. 176 ◽  
Author(s):  
Yanwei Zhang ◽  
Hualin Xie
Keyword(s):  
Asset Allocation ◽  
Cloud Model ◽  
Living Environment ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Welfare Level ◽  
Entropy Weight Method ◽  
Household Assets ◽  
Weight Method ◽  
High Level

Based on research into the theory of household assets and the welfare of farmers, the Analytic Hierarchy Process (AHP)-entropy weight method and cloud model were used to study the welfare level of land-lost farmers’ households under the different livelihood assets of Taohuayi Village, Taohuasan Village and Taohuawu Village in Taohua Town, Nanchang City. The results show that (1) The comprehensive welfare level of asset-deficient farmers’ households is between the “bad” and “medium” levels and is closer to the “bad” level. The comprehensive welfare level of asset-balanced farmers’ households is between “general” and “good” and is closer to the “good” level. (2) Judging from the various functional activity indicators that affect the welfare of the land-lost farmers, after the asset-deficient farmers’ households lose their land, the welfare level of the family’s financial situation, social security, living environment, mental status, development opportunities, and political participation are generally at low to medium-low levels, and only living conditions are at medium-to-high levels. (3) The welfare level of the living environment of the asset-balanced farmers’ households is at a moderately low level, and the welfare of the remaining functional activities is at a medium to a medium-high level. We then propose corresponding policy recommendations. After losing land, it is necessary to implement a differentiated circulation guarantee and support policies to achieve targeted compensation and support for the land-lost farmers’ households to improve the welfare level of land-lost farmers’ households under different living asset allocation.

scholarly journals Research on Comprehensive Evaluation of Military Aircrafts’ Overhaul Performance Based on Entropy Weight and Cloud Model

2021 ◽  
Vol 257 ◽  
pp. 02065
Author(s):  
Zhang Lei ◽  
Jing Yachao
Keyword(s):  
Comprehensive Evaluation ◽  
Cloud Model ◽  
Reliability And Validity ◽  
Evaluation Index System ◽  
Military Aircraft ◽  
Entropy Weight ◽  
Complex Evaluation ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Performance Results

Due to the complex evaluation of the current military aircrafts’ overhaul performance with many influencing factors, an evaluation index system of military aircrafts’ overhaul performance was constructed. It was proposed that the entropy weight method (EWM) was used to calculate the performance results, and then the performance of the reliability and validity of the results was verified based on the cloud model. By collecting the performance index data of a certain type of military aircraft overhaul from 2015 to 2018, the value of the overhaul performance of this type of military aircraft was calculated, and the feasibility and effectiveness of the method were verified.

scholarly journals Emergency Situation Safety Evaluation of Marine Ship Collision Accident Based on Extension Cloud Model

2021 ◽  
Vol 9 (12) ◽  
pp. 1370
Author(s):  
Yiyang Zou ◽  
Yingjun Zhang ◽  
Zhihong Ma
Keyword(s):  
Cloud Model ◽  
Evaluation Model ◽  
Safety Evaluation ◽  
Emergency Situation ◽  
Indicator System ◽  
Entropy Weight ◽  
Analytic Hierarchy ◽  
Entropy Weight Method ◽  
Evaluation Indicator System ◽  
Weight Method

After collisions at sea, situation evaluation and analysis are very important to follow-up rescue operations. At present, there are few ways give weights in the current situational safety evaluation methods after collisions of marine ships. Most safety evaluation models ignore the blurred boundaries of evaluation grades. To solve these issues, this paper identifies the safety evaluation indicator system and evaluation standards, and establishes an after-collisions safety evaluation model of maritime ships based on the extension cloud theory. This model combines the extension cloud model, the analytic hierarchy process, the entropy weight method, and game theory. Using this model, the situation safety of two collisions was evaluated. The evaluation results reflect the effectiveness of the model. In order to ensure the safety of the lives and property of marine personnel, suggestions have been made to strengthen crew training, improve ship’s self-rescue ability at sea, and establish a complete marine emergency response rescue system.

scholarly journals An Optimization Route Selection Method of Urban Oversize Cargo Transportation

2021 ◽  
Vol 11 (5) ◽  
pp. 2213
Author(s):  
Da Huang ◽  
Mei Han
Keyword(s):  
Influencing Factors ◽  
Cloud Model ◽  
Route Selection ◽  
Topsis Method ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Cargo Transportation ◽  
Transportation Routes ◽  
Transportation Route

In order to select the optimal transportation route among alternative transportation routes more accurately and objectively, the choice of urban oversize cargo transportation routes was studied by taking the optimization weight–TOPSIS combination method for specific calculations. This model, based on an entropy weight method, cloud model, and TOPSIS method, combines the superiority of the cloud model for reflecting the randomness and discreteness of subjective evaluation with the advantages of the TOPSIS method in dealing with the problem of multi-objective programming. Through selecting and classifying several the main road influencing factors of urban oversize cargo transportation, based on the data of four urban roads, the entropy weight method is used to initially determine the weights of each influencing factor, the cloud model is used to optimize weights, the TOPSIS method is used to compare and evaluate the paths, and the optimal transportation route is selected on this basis. The results showed that the optimization weight–TOPSIS method is scientific and accurate for the multi-objective planning of oversize cargo transportation route selection, and solves the problem of the impact of subjective factors in existing methods and the difficulty of processing multiple influencing factors. The Pearson consistency test results show that the Pearson correlation coefficient between the proposed method and the actual oversize cargo transportation route selection is 0.995, which is higher than the calculation results without using the combination weight.

A fire risk assessment method based on the combination of quantified safety checklist and structure entropy weight for shopping malls

2021 ◽  
pp. 1748006X2098737
Author(s):  
Quanle Zou ◽  
Tiancheng Zhang ◽  
Wei Liu
Keyword(s):  
Evaluation Method ◽  
Research Result ◽  
Fire Risk ◽  
Living Standard ◽  
Shopping Malls ◽  
Entropy Weight ◽  
Essential Components ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Laws And Regulations

In recent years, various large- and medium-sized shopping malls have been essential components of each city with the speed-up of China’s urbanization process and the improvement of residents’ living standard. A method for evaluating fire risk in shopping malls based on quantified safety checklist and structure entropy weight method was proposed according to related literatures as well as laws and regulations by analyzing the characteristics of fires occurring in shopping malls in recent years. At first, the factors influencing the fire risk in shopping malls were determined by carrying out on-site survey and visiting related organizations to construct an evaluation index system for fires occurring in shopping malls; afterwards, a quantified safety checklist composed of four parts (i.e. safety grade, grade description, scoring criterion and index quantification) was established based on related laws and regulations; subsequently, index weights were determined by utilizing structure entropy weight method, thus putting forward a method for assessing fire risk in shopping malls based on quantified safety checklist and structure entropy weight method. Eventually, the applicability of the evaluation method was validated exampled by Wal-Mart. The research result provides a theoretical basis for further improvement of the theoretical system for fire risk evaluation in shopping malls, and also exerts practical and guidance significance on timeous and effective early warning as well as prevention and control of building fires.

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